Skip to main content
. 2018 Nov 26;64(3):461–474. doi: 10.1007/s00038-018-1174-7

Table 3.

Prevalence analysis stratified by education

Survey Model A
Low educated
Model B
Medium educated
Model C
High educated
Men
 EU-Survey Income Living Conditions (EU-SILC) 1.00 Ref 1.00 Ref 1.00 Ref
 European Health Interview Survey (EHIS) 1.07 [1.01, 1.13] 1.22 [1.13, 1.32] 1.31 [1.19, 1.42]
 European Social Survey (ESS) 0.88 [0.81, 0.97] 0.97 [0.83, 1.11] 1.07 [0.95, 1.22]
 n 119,290 180,158 87,563
Women
 EU-Survey Income Living Conditions (EU-SILC) 1.00 Ref 1.00 Ref 1.00 Ref
 European Health Interview Survey (EHIS) 1.15 [1.10, 1.21] 1.35 [1.16, 1.56] 1.36 [1.19, 1.54]
 European Social Survey (ESS) 0.91 [0.83, 0.99] 0.97 [0.84, 1.12] 1.06 [0.81, 1.26]
 n 156,327 190,606 98,505

Adjusted risk ratio of disability prevalence (between surveys) for the pooled dataset, stratified by education for men and women (ages 30–79) for 28 European countries (European Health Interview Survey 2006–2009; European Social Survey 2008, 2010, 2012; European Union Statistics on Income and Living conditions 2008, 2012)

Significance at the 5% level in bold

Models are stratified by sex and education

The models presented correspond to logitGlobalActivityLimitationIndicator-GALI=βkAgek+βsSurveys+βcCountryc

EHIS—European Health Interview Survey (2006/2009); ESS—European Social Survey (2008, 2010, 2012); EU-SILC—EU Statistics on Income and Living Conditions (2008, 2012) for 28 European countries (Finland, Sweden, Norway, Denmark, the UK, Ireland, the Netherlands, Belgium, Germany, Austria, Switzerland, France, Spain, Portugal, Italy, Greece, Cyprus, Slovenia, Croatia Czech Republic, Slovakia, Hungary, Poland, Bulgaria, Romania, Latvia, Lithuania, Estonia)